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DTSTAMP:20260719T192914Z
UID:4bcd1b22-961b-47ac-a7c3-88385da0f03f
DTSTART:20210916T090000Z
DTEND:20210916T170000Z
DESCRIPTION:Personalised Medicine (PerMed) opens unexplored frontiers to tr
 eat diseases at the individual level combining clinical and omics informat
 ion. However\, the performances of the current simulation software are sti
 ll insufficient to tackle medical problems such as tumour evolution or pat
 ient-specific treatments. The challenge is to develop a sustainable roadma
 p to scale-up the essential software for the cell-level simulation to the 
 new European HPC/Exascale systems. Simulation of cellular mechanistic mode
 ls are essential for the translation of omic data to medical relevant acti
 ons and these should be accessible to the end-users in the appropriate env
 ironment of the PerMed-specific big confidential data. The goal of [PerMed
 CoE](https://permedcoe.eu/) is to provide an efficient and sustainable ent
 ry point to the HPC/Exascale-upgraded methodology to translate omics analy
 ses into actionable models of cellular functions of medical relevance.\n\n
 It will accomplish so by:\n\n1. Optimising four core applications for cell
 -level simulations to the new pre-exascale platforms\;\n2. Integrating Per
 Med into the new European HPC/Exascale ecosystem\, by offering access to H
 PC/Exascale-adapted and optimised software\;\n3. Running a comprehensive s
 et of PerMed use cases including simulations of tumour evolution and drug 
 combinations for cancer treatment\; &amp\;\n4. Building the basis for the 
 sustainability of the PerMedCoE by coordinating PerMed and HPC communities
 \, and reaching out to industrial and academic end-users\, with use cases\
 , training\, expertise\, and best practices.\n\nThe PerMedCoE cell-level s
 imulations will fill the gap between the molecular- and organ-level simula
 tions from the other CoEs with which this project is aligned at different 
 levels. It will connect method developers with HPC\, HTC and HPDA experts.
  Finally\, PerMedCoE will work with biomedical consortia and pre-exascale 
 infrastructures\, including a substantial co-design effort.\n\n### About t
 he speaker\n\n[Alfonso Valencia](https://www.bsc.es/valencia-alfonso) is a
  Spanish biologist\, ICREA Professor\, current director of the Life Scienc
 es department at Barcelona Supercomputing Center (BSC) and of Spanish Nati
 onal Bioinformatics Institute (INB-ISCIII). He received his PhD in molecul
 ar biology in 1988 from the Autonomous University of Madrid. From 1989 to 
 1994 he was a Postdoctoral Fellow in the laboratory of Chris Sander at the
  European Molecular Biology Laboratory (EMBL) in Heidelberg\, studying the
  evolution of protein function using sequence- and structure-based approac
 hes. In 1994 Valencia formed the Protein Design Group at the Spanish Natio
 nal Center for Biotechnology (CNB). He was leader of the Structural and Co
 mputational Biology Group at Spanish National Cancer Research Center (CNIO
 ). From 2015-2018\, he was President of the International Society for Comp
 utational Biology (ISCB). As computational biologist\, the focus of his wo
 rk is the mechanistic understanding of biological systems\, including canc
 er and other diseases\, with a combination of Bioinformatics\, Network Bio
 logy and Machine Learning approaches. His group has developed systems in t
 he areas of protein structure prediction\, protein interactions and protei
 n networks\, systems biology\, text and data mining\, with applications in
  epigenetic\, cancer genomics and disease comorbidity. All these activitie
 s converge into the general topic of Personalised Medicine\, with particul
 ar interest in the interface with Artificial intelligence and High Perform
 ance Computing.
SUMMARY:Introduction to PerMedCoE: Exascale-ready cell-level simulations fo
 r European Personalised Medicine
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/exascale-ready-cell-lev
 el-simulations-european-personalised-medicine-0
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